Nando de Freitas

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Ziyu WangDeepmindVerified email at google.com
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Misha DenilDeepMindVerified email at google.com
Matthew W. HoffmanDeepMindVerified email at google.com
Bobak ShahriariDeepMindVerified email at google.com
Yannis AssaelStaff Research Scientist, Google DeepMindVerified email at google.com
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Kobus BarnardProfessor of Computer Science, University of ArizonaVerified email at cs.arizona.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu
Yutian ChenResearch Scientist, DeepMindVerified email at google.com
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyVerified email at cs.hacettepe.edu.tr
Peter CarbonettoUniversity of ChicagoVerified email at uchicago.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
James LittleComputer Science, University of British ColumbiaVerified email at cs.ubc.ca
Masrour ZoghiGoogle ResearchVerified email at zoghi.org
Mahesan NiranjanUniversity of SouthamptonVerified email at ecs.soton.ac.uk
Benjamin M. MarlinCollege of Information and Computer Sciences, UMass AmherstVerified email at umass.edu
Marc'Aurelio RanzatoDeepMindVerified email at google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu

Nando de Freitas

CIFAR & DeepMind

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Machine Learning & Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sequential Monte Carlo methods in practice A Doucet, N De Freitas, N Gordon Springer Verlag, 2001	10938*	2001
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50 (1), 5-43, 2003	3065	2003
Taking the human out of the loop: A review of Bayesian optimization B Shahriari, K Swersky, Z Wang, RP Adams, N De Freitas Proceedings of the IEEE 104 (1), 148-175, 2015	2844	2015
Dueling network architectures for deep reinforcement learning Z Wang, T Schaul, M Hessel, H Hasselt, M Lanctot, N Freitas International conference on machine learning, 1995-2003, 2016	2693	2016
The unscented particle filter R Van Der Merwe, A Doucet, N De Freitas, E Wan Advances in neural information processing systems 13, 2000	2443	2000
Object recognition as machine translation: learning a lexicon for a fixed image vocabulary Leture Noyes in Computer Science P Duygulu, K Barnard, JFG de Freitas Heidelberg: Springer 23 (53), 97-112, 2002	2212*	2002
A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning E Brochu, VM Cora, N De Freitas arXiv preprint arXiv:1012.2599, 2010	2181	2010
Matching words and pictures K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan Test accounts, 2003	2066	2003
Rao-Blackwellised particle filtering for dynamic Bayesian networks K Murphy, S Russell Sequential Monte Carlo methods in practice, 499-515, 2001	1853	2001
A boosted particle filter: Multitarget detection and tracking K Okuma, A Taleghani, N Freitas, JJ Little, DG Lowe European conference on computer vision, 28-39, 2004	1519	2004
Learning to learn by gradient descent by gradient descent M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ... Advances in neural information processing systems 29, 2016	1502	2016
Predicting parameters in deep learning M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas Advances in neural information processing systems 26, 2013	1202	2013
Learning to communicate with deep multi-agent reinforcement learning J Foerster, IA Assael, N De Freitas, S Whiteson Advances in neural information processing systems 29, 2016	1068	2016
Sample efficient actor-critic with experience replay Z Wang, V Bapst, N Heess, V Mnih, R Munos, K Kavukcuoglu, ... arXiv preprint arXiv:1611.01224, 2016	677	2016
Neural programmer-interpreters S Reed, N De Freitas arXiv preprint arXiv:1511.06279, 2015	435	2015
A statistical model for general contextual object recognition P Carbonetto, N Freitas, K Barnard European conference on computer vision, 350-362, 2004	360	2004
Bayesian optimization in a billion dimensions via random embeddings Z Wang, F Hutter, M Zoghi, D Matheson, N de Feitas Journal of Artificial Intelligence Research 55, 361-387, 2016	311	2016
Deep fried convnets Z Yang, M Moczulski, M Denil, N De Freitas, A Smola, L Song, Z Wang Proceedings of the IEEE international conference on computer vision, 1476-1483, 2015	304	2015
Bayesian Optimization in High Dimensions via Random Embeddings. Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas IJCAI, 1778-1784, 2013	292	2013
Rao-Blackwellised particle filtering for fault diagnosis N De Freitas Proceedings, IEEE Aerospace Conference 4, 4-4, 2002	277	2002

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